Little Green Light MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Little Green Light as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Little Green Light. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Little Green Light?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Little Green Light MCP Server
Connect your Little Green Light account to any AI agent to automate your donor management and fundraising workflows. This MCP server enables your agent to manage constituent profiles, record new gifts, and query fundraising appeals directly from natural language interfaces.
LlamaIndex agents combine Little Green Light tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Constituent Oversight — List and retrieve detailed profiles for all registered donors and organizations in your database
- Gift Recording — Programmatically record new donations, pledges, and recurring gifts with associated amounts and dates
- Fundraising Audit — Query active appeals, campaigns, and funds to monitor your fundraising efforts and allocations
- Onboarding Automation — Create new donor records and update existing contact information seamlessly
- Database Discovery — List all available organizational funds and campaign structures to map your financial logic
The Little Green Light MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Little Green Light to LlamaIndex via MCP
Follow these steps to integrate the Little Green Light MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Little Green Light
Why Use LlamaIndex with the Little Green Light MCP Server
LlamaIndex provides unique advantages when paired with Little Green Light through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Little Green Light tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Little Green Light tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Little Green Light, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Little Green Light tools were called, what data was returned, and how it influenced the final answer
Little Green Light + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Little Green Light MCP Server delivers measurable value.
Hybrid search: combine Little Green Light real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Little Green Light to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Little Green Light for fresh data
Analytical workflows: chain Little Green Light queries with LlamaIndex's data connectors to build multi-source analytical reports
Little Green Light MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Little Green Light to LlamaIndex via MCP:
create_new_donor
Requires first_name, last_name, or org_name. Create a new donor constituent
get_donor_details
Get details for a specific constituent
get_gift_details
Get details for a specific gift
list_donation_gifts
List recorded gifts and donations
list_donor_constituents
List donor constituents
list_fundraising_appeals
List active fundraising appeals
list_fundraising_campaigns
List fundraising campaigns
list_organizational_funds
List available organizational funds
record_new_donation
Requires constituent_id, amount, and gift_date. Record a new donation gift
Example Prompts for Little Green Light in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Little Green Light immediately.
"List all constituents in my Little Green Light account."
"Record a new donation of $100.00 for constituent ID '12345' dated today."
"Show active fundraising appeals."
Troubleshooting Little Green Light MCP Server with LlamaIndex
Common issues when connecting Little Green Light to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLittle Green Light + LlamaIndex FAQ
Common questions about integrating Little Green Light MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Little Green Light with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Little Green Light to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.